Transition metal dichalcogenides (TMDs), particularly vanadium tetrasulfide (VS4), have demonstrated potential for versatile applications in photochemical, electrochemical, energy harvesting, and energy storage applications over a period of time owing to their unique structural and redox properties. In this study, VS4 was integrated with nickel aluminium layered double hydroxide (LDH) at varying concentrations (2.5 wt%, 5 wt%, and 7.5 wt%) via a hydrothermal approach to enhance its capaci...

The increasing demand for sustainable energy solutions has spurred research into advanced energyharvesting technologies, with triboelectric nanogenerators (TENGs) emerging as a promising option for converting ambient mechanical energy into electrical power. The present study explores the potential of a novel composite material comprising nickel–aluminum layered double hydroxides (NiAl-LDH) and MXene (Ti3C2) to improve TENG performance. Integrating highly conductive, high-surface-area twod...

The detection and analysis of volatile biomarkers in exhaled breath have emerged as promising non-invasive strategies for early disease diagnosis, therapeutic monitoring, and personalized healthcare. Traditional gas sensing platforms, however, often face limitations including dependency on external power sources, bulky designs, and inadequate sensitivity or selectivity under physiological conditions. This work provides a complete overview of recent improvements in self-powered gas sensors...

This study uses a novel approach to synthesize copper nanoparticles (Cu NPs) using tartaric acid as a reducing and capping agent via a metal displacement method. The uniqueness of this approach lies in its clean and efficient synthesis route that enables the formation of metallic copper nanoparticles under mild conditions by employing tartaric acid as a dual-functioning complexing and capping agent, and utilizing a spontaneous metal displacement reaction with aluminum. The quality of the ...

Electronic waste (e-waste) and the use of portable electronic devices are rapidly increasing due to technological advancements globally, leading to harmful effects on the environment. E-waste causes severe environmental damage, such as the pollution of soil, water, and air. Therefore, there is an urge for effective e-waste management, recycling, and sustainable consumption. In this report, We developed high-performance triboelectric nanogenerators (TENGs) utilizing discarded laptop LCD ...

A novel, environmentally friendly, near-infrared (NIR) solar reflective yellow pigment has been successfully developed by incorporating bismuth (Bi3+) and vanadium (V5+) into the yttrium phosphate (YPO4) host lattice. Y(1􀀀 x)BixP(1􀀀 y)VyO4 (x = y = 0–1) materials with different composition were synthesized using two distinct approaches: the flux-assisted solid-state method (SSM) and the co-precipitation technique (CPS), and the results were compared. A drastic shift in the absorption cu...

Triboelectric nanogenerators (TENGs) have rapidly developed into a transformative energy harvesting technology, enabling self-powered, sustainable electronic systems. This review offers the first comprehensive, multidisciplinary perspective that connects the physics of triboelectric charge transfer with material innovation, device engineering, and real-world applications. We systematically categorize and measure the triboelectric series across a wide range of materials, including polymers...

Multilevel inverters are increasingly being used due to their superior performance compared to two-level inverters. Different circuit topologies on multilevel inverters have been extensively researched. Conduction and switching losses of IGBT in multilevel inverter is the key factor which could influence the converter reliability and efficiency. In this paper, thermal evaluation is described for four level Neutral Point Clamped inverter and four-level dual inverter fed open-end ...

In this paper a new optimization algorithm TLBO (Teaching and Learning Based Optimization) has been implemented to solve optimal multi Distributed Generator (DG) placement problem. This problem has been formulated for minimization of loss, capacity release of transmission lines and voltage profile improvement. To reduce search space and computational burden optimization has been done in two stages first to find the optimal locations for DG placement and latter to find the opti...

A four-level open-end winding induction motor (OEWIM) drive is known to suffer from two perennial problems. One is the problem of zero-sequence current in the motor phases, which is causedbytheexistence of zero sequence voltage in them. The other is the overcharging of the dc-link capacitor of the inverter operated with lower dc-link voltage by its counterpart operated with a higher dc-link voltage. This paper investigates the applicability of a special variant of space vector pulse w...

This paper presents a single-stage solution for PV fed three-phase induction motor (IM) water pumping system. The given solution uses time tested, two two-level cascaded H-bridge inverters to give three level voltage output to the IM pump drive. The proposed system is operated using the control strategy which includes Maximum Power Point Tracking (MPPT), Space Vector Pulse Width Modulation (SVPWM) and V/f control. The MPPT algorithm generates the modulation index ‘ma’ which is used to operate...

This paper presents a single-stage solution for a dual Maximum Power Point Tracking (MPPT) technique for a solar Photovoltaic (PV) fed water pumping system. The proposed solar PV fed pumping system uses a three-phase Open-End Winding Induction Motor (OEWIM) coupled to a centrifugal water pump. The OEWIM is connected via two time tested two-level three-phase inverters powered by two independent solar PV arrays. These two PV arrays can be configured independently and the employed dual MPPT ...

In this paper a hybrid method for improving the dynamic stability of the power system using UPFC is proposed. The novelty of the proposed method is combined performance of the Bat-inspired algorithm and Firefly Algorithm (FA), which provides improved searching ability, automatic subdivision and random reduction. Here, the bat-inspired algorithm optimizes the maximum power loss bus while the generator fault occurs, which inturn affects the power flow constraints like voltage, power l...

In this paper, the bat-inspired algorithm and the Gravitational Search Algorithm (GSA) based optimal location and ca pacity of UPFC are proposed to improve the dynamic stability of power systems. The novelty of the proposed method is in improved searching ability, random reduction and reduced complexity. Here, the GSA is used to optimize the location of the UPFC if a generator fault occurs. The GSA selects the maximum power loss line as the optimum location to place UPFC as per the object...

Induction heating (IH) technique has been widely used in industrial and domestic heating applications. In IH cooking applications, multi-output IH systems are increasing in demand. In this study, an inverter configuration is proposed for two-output IH cooking applications. The objective of this proposal is to reduce the component count and thereby the size of the circuit and cost. In this proposed configuration, two IH loads are connected to a full-bridge inverter output and these loads a...

In this paper Teaching-Learning-Based Optimization Algorithm (TLBO) is presented for solving the problem of placement of phasor measurement units (PMU) optimally in a power system network for complete observability. The TLBO algorithm enables optimal PMU placement by zero injection measurements and also by not including zero injection measurements. The algorithm has been tested on standard test systems such as IEEE 14-bus, IEEE 30-bus, IEEE 57-bus and the results are contraste...

Price forecasting is one of the main issues faced in deregulated market because of the dynamic behaviour of the electricity prices. In a day-ahead pool market, market participants need forecasted prices to submit their bids to the market operator. Accurate forecast can provide a risk free environment for the producers and consumers to invest into the market. Participants themselves feel that they can have assured return if the forecasted prices are accurate. This paper presents Elman Neural N...

This paper Proposes Probabilistic optimal power flow to analyse the variation of Locational Marginal Prices (LMPs) with penetration of wind energy. The uncertainty of wind speed and load is modelled using probability distribution functions based on their historical data. Integration of storage unit with wind is proposed to assess economic advantages. In this paper Two Point Estimation Method (2PEM) is used to develop Probabilistic Optimal Power Flow. IEEE-24 bus reliable test system is used t...

A four-level open-end winding induction motor (OEWIM) drive is known to suffer from two perennial problems. One is the problem of zero-sequence current in the motor phases, which is caused by the existence of zero sequence voltage in them. The other is the overcharging of the dc-link capacitor of the inverter operated with lower dc-link voltage by its counterpart operated with a higher dc-link voltage. This paper investigates the applicability of a special variant of space vector puls...